Program Listing for File cfg.h
↰ Return to documentation for file (include/runtime/include/api/cfg.h
)
#ifndef MINDSPORE_INCLUDE_API_CFG_H
#define MINDSPORE_INCLUDE_API_CFG_H
#include <cstddef>
#include <string>
#include <vector>
#include <memory>
#include "include/api/data_type.h"
#include "include/api/dual_abi_helper.h"
#include "include/api/types.h"
namespace mindspore {
constexpr int iter_th = 1000;
class MS_API MixPrecisionCfg {
public:
MixPrecisionCfg() {
this->dynamic_loss_scale_ = false;
this->loss_scale_ = 128.0f;
this->keep_batchnorm_fp32_ = true;
this->num_of_not_nan_iter_th_ = iter_th;
}
MixPrecisionCfg(const MixPrecisionCfg &rhs) {
this->dynamic_loss_scale_ = rhs.dynamic_loss_scale_;
this->loss_scale_ = rhs.loss_scale_;
this->keep_batchnorm_fp32_ = rhs.keep_batchnorm_fp32_;
this->num_of_not_nan_iter_th_ = rhs.num_of_not_nan_iter_th_;
}
~MixPrecisionCfg() = default;
bool dynamic_loss_scale_ = false;
float loss_scale_;
bool keep_batchnorm_fp32_ = true;
uint32_t num_of_not_nan_iter_th_;
bool is_raw_mix_precision_ = false;
};
class MS_API TrainCfg {
public:
TrainCfg() = default;
TrainCfg(const TrainCfg &rhs) {
this->loss_name_ = rhs.loss_name_;
this->mix_precision_cfg_ = rhs.mix_precision_cfg_;
this->accumulate_gradients_ = rhs.accumulate_gradients_;
}
~TrainCfg() = default;
inline std::vector<std::string> GetLossName() const;
inline void SetLossName(const std::vector<std::string> &loss_name);
OptimizationLevel optimization_level_ = kO0;
MixPrecisionCfg mix_precision_cfg_;
bool accumulate_gradients_ = false;
private:
std::vector<std::vector<char>> loss_name_ = VectorStringToChar({"loss_fct", "_loss_fn", "SigmoidCrossEntropy"});
};
std::vector<std::string> TrainCfg::GetLossName() const { return VectorCharToString(loss_name_); }
void TrainCfg::SetLossName(const std::vector<std::string> &loss_name) { loss_name_ = VectorStringToChar(loss_name); }
} // namespace mindspore
#endif // MINDSPORE_INCLUDE_API_CFG_H